"Ricardo Maximiliano Rosales, Konstantinos A. Mountris, M. Doblaré, M. Mazo, Emilio L. Pueyo
{"title":"Ventricular Conduction System Modeling for Electrophysiological Simulation of the Porcine Heart","authors":"\"Ricardo Maximiliano Rosales, Konstantinos A. Mountris, M. Doblaré, M. Mazo, Emilio L. Pueyo","doi":"10.22489/CinC.2022.030","DOIUrl":null,"url":null,"abstract":"Depolarization sequences triggering mechanical contraction of the heart are largely determined by the cardiac conduction system $(CS)$. Many biophysical models of cardiac electrophysiology still have poor representations of the $CS$. This work proposes a semiautomatic method for the generation of an anatomically-realistic porcine $CS$ that reproduces ventricular activation properties in swine computational models. Personalized swine biventricular models were built from magnetic resonance images. Electrical propagation was described by the monodomain model. The $CS$ was defined from manually-determined anatomic landmarks using geodesic paths and a fractal tree algorithm. Two $CS$ distributions were defined, one restricted to the subendocardium and another one by performing a subendo-to-intramyocardium projection based on histological porcine data. Depolarization patterns as well as left ventricular transmural and inter-ventricular delays were assessed to describe ventricular activation by the two $CS$ distributions. The electrical excitations calculated using the two $CS$ distributions were in good agreement with reported activation patterns. The pig-specific subendo-intramyocardial $CS$ led to improved reproduction of experimental activation delays in ventricular endocardium and epicardium.","PeriodicalId":117840,"journal":{"name":"2022 Computing in Cardiology (CinC)","volume":"595 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Computing in Cardiology (CinC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22489/CinC.2022.030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Depolarization sequences triggering mechanical contraction of the heart are largely determined by the cardiac conduction system $(CS)$. Many biophysical models of cardiac electrophysiology still have poor representations of the $CS$. This work proposes a semiautomatic method for the generation of an anatomically-realistic porcine $CS$ that reproduces ventricular activation properties in swine computational models. Personalized swine biventricular models were built from magnetic resonance images. Electrical propagation was described by the monodomain model. The $CS$ was defined from manually-determined anatomic landmarks using geodesic paths and a fractal tree algorithm. Two $CS$ distributions were defined, one restricted to the subendocardium and another one by performing a subendo-to-intramyocardium projection based on histological porcine data. Depolarization patterns as well as left ventricular transmural and inter-ventricular delays were assessed to describe ventricular activation by the two $CS$ distributions. The electrical excitations calculated using the two $CS$ distributions were in good agreement with reported activation patterns. The pig-specific subendo-intramyocardial $CS$ led to improved reproduction of experimental activation delays in ventricular endocardium and epicardium.